Rock and Soil Mechanics ›› 2019, Vol. 40 ›› Issue (11): 4421-4428.doi: 10.16285/j.rsm.2018.1736

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Gravitational search algorithm based microseismic positioning in tunnel surrounding rock

WANG Jian-feng1, 2, LI Tian-bin1, 2, MA Chun-chi1, 2, ZHANG Hang1, 2, HAN Yu-xuan3, ZHOU Xiong-hua3, JIANG Yu-peng4   

  1. 1. College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, Sichuan 610059, China; 2. State Key Laboratory of Geohazard Prevention and Geo-environment Protection, Chengdu University of Technology, Chengdu 610059, China; 3. Sichuan Ba-Shan Expressway Co., Ltd., Chengdu, Sichuan 610059, China; 4. School of Civil Engineering, University of Sydney, Sydney, Australia NSW2006
  • Received:2018-09-19 Online:2019-11-11 Published:2019-12-01
  • Supported by:
    This work was supported by the National Science Fund for Young Scholars (41807255), the National Natural Science Foundation of China (41772329) and the Research Project of China Railway Er-yuan Engineering Group (KE2017-10)

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Abstract: To overcome the difficulty of deep buried tunnel microseismic source positioning and low positioning accuracy problems, a heuristic algorithm, gravitational search algorithm (GSA), is used to in this paper to search the location. The algorithm is compared with results of the particle swarm optimization and the simplex algorithm. Research shows that, under the two and three velocity models, the gravitational search algorithm has the advantages of fast convergence and high precision over the particle swarm optimization and the simplex algorithm. The distance from the source location can be controlled within 10 m, which meets the need of tunnel construction better. For the two velocity model, the accuracy of gravitational search algorithm is 83.71 percent higher than the simplex, and 7.77 percent higher than the particle swarm optimization. For the three velocity model, the accuracy of gravitational search algorithm is 70.67 percent higher than the simplex, and 39.36 percent higher than the particle swarm optimization. Through the analysis, gravitational search algorithm (GSA) can provide a new idea for the position of micro-seismic source in deep buried tunnels.

Key words: microseismic monitoring, tunnel engineering, heuristic algorithm, gravitational search algorithm, seismic source location

CLC Number: 

  • TU 45
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